Triple

T22939239
Position Surface form Disambiguated ID Type / Status
Subject Hudson E569673 entity
Predicate hasEtymologicalRoot P5801 FINISHED
Object Hugh NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hugh | Statement: [Hudson, hasEtymologicalRoot, Hugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh
Context triple: [Hudson, hasEtymologicalRoot, Hugh]
  • A. Hugh chosen
    Hugh is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • B. Henry
    Henry is the middle name of William Henry Grenfell, a British politician and sportsman who became 1st Baron Desborough.
  • C. Henry
    Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
  • D. Henry
    Henry is the given name of Henry Nottidge Moseley, a 19th-century English naturalist and professor known for his work in zoology and participation in the Challenger expedition.
  • E. Henry
    Henry was the given name of Henry Beaufort, 3rd Duke of Somerset, a prominent Lancastrian military commander during the Wars of the Roses in 15th-century England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181378660819083239986c846ec17 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:45 p.m.